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Dataset

 

Data to support Below-cloud scavenging of aerosol by rain: A review of numerical modelling approaches and sensitivity simulations with mineral dust

Update Frequency: Not Planned
Latest Data Update: 2022-05-26
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2022-06-06
DOI Publication Date: 2022-06-06
Download Stats: last 12 months
Dataset Size: 164 Files | 81GB

Abstract

This dataset contains all the UM-GA8.0 climate model output needed to reproduce Table 2 and Figures 7-10 in the paper Below-cloud scavenging of aerosol by rain: A review of numerical modelling approaches and sensitivity simulations with mineral dust by Anthony C. Jones, Adrian Hill, John Hemmings, Pascal Lemaitre, Arnaud Querel, Claire L. Ryder, and Stephanie Woodward, Submitted to Atmospheric Chemistry and Physics, May 2022, as well as Figures S7-S13 in the Supplementary material. UM-GA8.0 is the Met Office Unified Model General Atmosphere vn8.0 in a climate configuration (N96L85) and using AMIP protocol (see Jones et al., 2022 for more details).

All files are CF-1.7 compliant and in NetCDF format with appropriate metadata. Each file contains monthly mean data for the 15 simulated years used in the paper (the 5 year spin up is not provided).

The files are separated into folders by experiment name:

Folder | Simulation name (Table 1 in Jones et al., 2022)
-------------------------------------------------------------
Slinn | Slinn
Slinnph | Slinn+ph
Slinnphrc | Slinn+ph+rc
Wang | Wang
Laakso | Laakso
SlinnPhRc1M | Slinn+ph+rc(1M)
SlinnPhRcDm | Slinn+ph+rc(dm)
LaaksoDm | Laakso(dm)

The files use standard CMIP naming conventions with one slight modification: before the 'nc' suffix, the aerosol mode that the variable applies to is generally given (either coarse (cor) or accumulation (acc) mode). The STARTDATE and ENDDATES are the same for all files (12/1993 and 11/2008 respectively). As is the TIMEPERIOD (Amon, i.e., monthly mean data) and the MODEL (MetUM, else known as UM-GA8.0).

VARIABLE_TIMEPERIOD_MODEL_EXPERIMENT_STARTDATE_ENDDATE.MODE.nc

The variables comprise:

Short name | Description (units, if any)
-------------------------------------------------------------
conccn | Particle number concentration (m-3)
concdust | Particle mass concentration (kg.m-3)
diamdust | Modal median diameter (m)
drydust | Dust dry deposition rate (kg.m-2.s-1)
emidust | Dust surface emission rate (kg.m-2.s-1)
loaddust | Vertically integrated dust load (kg.m-2)
mmratedust | Dust mode-merging (cor->acc) rate (kg.m-3.s-1)
od443dust | Dust optical depth at 443 nm
od550dust | Dust optical depth at 443 nm
orog | Surface Altitude (m)
wetdust | Dust wet deposition rate (kg.m-2.s-1)
zfull | Model altitude at the top of the gridcell (m)

The mass concentration (concdust), number concentration (conccn), and mass burden (loaddust) were calculated from monthly-mean mass or number mixing ratios and monthly mean potential temperature, pressure, and specific humidity fields (not supplied). The mode mixing rate (mmratedust) is only available for the downard mode merging simulations (SlinnPhRcDm and LaaksoDm).

All figures in the paper were produced using Python (3.6) and Iris scientific analysis software.

All data is Crown Copyright, Met Office, and is made available under the terms of the Non-Commercial Government Licence: http://www.nationalarchives.gov.uk/doc/non-commercial-government-licence/version/2/

Citable as:  Jones, A.; Hill, A.; Hemmings, J.; Lemaitre, P.; Querel, A.; Ryder, C.; Woodward, S. (2022): Data to support Below-cloud scavenging of aerosol by rain: A review of numerical modelling approaches and sensitivity simulations with mineral dust. NERC EDS Centre for Environmental Data Analysis, 06 June 2022. doi:10.5285/2e36fe8eb7ee4bd0a0833d3e1edd795a. https://dx.doi.org/10.5285/2e36fe8eb7ee4bd0a0833d3e1edd795a
Abbreviation: Not defined
Keywords: Not defined

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence: http://www.nationalarchives.gov.uk/doc/non-commercial-government-licence/version/2/. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

The data is model output from MetUM simulations performed on the Met Office Cray XC40 supercomputer. The output was then processed and made CF-compliant using Python with the Iris module.

Data Quality:
All files are CF-1.7 compliant and in NetCDF format with appropriate metadata. The data is in SI format.
File Format:
Data are NetCDF formatted.

Related Documents

No documents related to this record were found.

Process overview

This dataset was generated by the computation detailed below.
Title

Met Office operational unified model (UM) deployed on Met Office Computer network

Abstract

This computation involved: Met Office operational unified model (UM) deployed on Met Office Computer network. The Unified Model is the name given to the suite of atmospheric and oceanic numerical modelling software developed and used at the Met Office. The formulation of the model supports global and regional domains and is applicable to a wide range of temporal and spatial scales that allow it to be used for both numerical weather prediction and climate modelling as well as a variety of related research activities. The Unified Model was introduced into operational service in 1992. Since then, both its formulation and capabilities have been substantially enhanced.

Input Description

None

Output Description

None

Software Reference

None

  • units: m-3
  • long_name: Aerosol Number Concentration
  • var_id: conccn
  • standard_name: number_concentration_of_ambient_aerosol_particles_in_air
  • names: Aerosol Number Concentration, number_concentration_of_ambient_aerosol_particles_in_air
  • units: m
  • standard_name: ambient_aerosol_particle_diameter
  • long_name: Aerosol Particle diameter
  • var_id: diamdust
  • names: ambient_aerosol_particle_diameter, Aerosol Particle diameter
  • units: m
  • long_name: Altitude of Model Full-Levels
  • standard_name: height_above_reference_ellipsoid
  • var_id: zfull
  • names: height_above_reference_ellipsoid, Altitude of Model Full-Levels
  • units: kg m-3
  • long_name: Concentration of Dust
  • var_id: concdust
  • standard_name: mass_concentration_of_dust_dry_aerosol_particles_in_air
  • names: Concentration of Dust, mass_concentration_of_dust_dry_aerosol_particles_in_air
  • units: kg m-2 s-1
  • long_name: Dry Deposition Rate of Dust
  • var_id: drydust
  • standard_name: minus_tendency_of_atmosphere_mass_content_of_dust_dry_aerosol_particles_due_to_dry_deposition
  • names: Dry Deposition Rate of Dust, minus_tendency_of_atmosphere_mass_content_of_dust_dry_aerosol_particles_due_to_dry_deposition
  • units: 1
  • var_id: od550dust
  • long_name: Dust Optical Thickness at 550nm
  • standard_name: atmosphere_optical_thickness_due_to_dust_ambient_aerosol_particles
  • names: Dust Optical Thickness at 550nm, atmosphere_optical_thickness_due_to_dust_ambient_aerosol_particles
  • units: kg m-2
  • long_name: Load of Dust
  • var_id: loaddust
  • standard_name: atmosphere_mass_content_of_dust_dry_aerosol_particles
  • names: Load of Dust, atmosphere_mass_content_of_dust_dry_aerosol_particles
  • units: 1
  • standard_name: atmosphere_optical_thickness_due_to_dust_ambient_aerosol_particles
  • long_name: Optical Thickness at 443nm Dust
  • var_id: od443dust
  • names: atmosphere_optical_thickness_due_to_dust_ambient_aerosol_particles, Optical Thickness at 443nm Dust
  • units: m
  • long_name: Surface Altitude
  • standard_name: surface_altitude
  • var_id: orog
  • names: Surface Altitude, surface_altitude
  • long_name: Total Emission Rate of Dust
  • standard_name: tendency_of_atmosphere_mass_content_of_dust_dry_aerosol_particles_due_to_emission
  • units: kg m-3 s-1
  • var_id: mmratedust
  • names: Total Emission Rate of Dust, tendency_of_atmosphere_mass_content_of_dust_dry_aerosol_particles_due_to_emission
  • units: kg m-2 s-1
  • long_name: Wet Deposition Rate of Dust
  • var_id: wetdust
  • standard_name: minus_tendency_of_atmosphere_mass_content_of_dust_dry_aerosol_particles_due_to_wet_deposition
  • names: Wet Deposition Rate of Dust, minus_tendency_of_atmosphere_mass_content_of_dust_dry_aerosol_particles_due_to_wet_deposition
  • units: hours
  • standard_name: forecast_period
  • var_id: forecast_period
  • names: forecast_period
  • var_id: forecast_period_bnds
  • standard_name: forecast_reference_time
  • var_id: forecast_reference_time
  • names: forecast_reference_time
  • var_id: latitude_bnds
  • var_id: latitude_longitude
  • units: m
  • standard_name: atmosphere_hybrid_height_coordinate
  • long_name: level_height
  • var_id: level_height
  • names: atmosphere_hybrid_height_coordinate, level_height
  • var_id: level_height_bnds
  • var_id: longitude_bnds
  • units: 1
  • standard_name: model_level_number
  • var_id: model_level_number
  • names: model_level_number
  • units: 1
  • long_name: pseudo_level
  • var_id: pseudo_level
  • names: pseudo_level
  • units: 1
  • var_id: sigma
  • long_name: sigma
  • names: sigma
  • var_id: sigma_bnds
  • units: m
  • standard_name: surface_altitude
  • var_id: surface_altitude
  • names: surface_altitude

Co-ordinate Variables

  • units: degrees_north
  • standard_name: latitude
  • var_id: latitude
  • names: latitude
  • units: degrees_east
  • standard_name: longitude
  • var_id: longitude
  • names: longitude
  • standard_name: time
  • var_id: time
  • names: time
Coverage
Temporal Range
Start time:
1993-12-01T00:00:00
End time:
2008-11-30T00:00:00
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°